measurement bias

measurement bias

Decision making
A systematic measurement error that skews all data; for example, an improperly calibrated sphygmomanometer produces biased blood pressure readings.
 
EBM
A systematic error that occurs when, because of the lack of blinding or related reasons such as diagnostic suspicion, the measurement methods (instrument, or observer of instrument) are consistently different between the groups in a study.
References in periodicals archive ?
In their letter, Rappold and Grant (1) point out a potential source of measurement bias, which can be referred to as bias due to "isotopic enhancement.
Measurement bias was assessed by determining the average difference between the measured pressure and shear values and the accepted reference values.
A single researcher performed the scoring, with consensus sought only in cases of ambiguity; this potentially introduces measurement bias but eliminates the possibility of inter-observer error.
Measurement bias results from inadequacy, or lack of validity, of the measurement instrument or method.
This is a particularly important source of measurement bias that can affect the precision and accuracy of measurement in diverse populations and produce errors in inferences drawn from measures.
Interpolation can then be used for predicting the single-point measurement bias after sufficient data has been collected in the range where the prediction is needed.
The study may also be subject to measurement bias because it relied on subject-reported weights.
The problem of measurement bias detection as a separate topic has been widely tackled by techniques of fault detection and diagnosis (e.
This situation can result in measurement bias errors.
A recent research project at Southwest Research Institute (SwRI) was created to help reduce the costs of measurement bias and error in several conventional flow meters.
The primary focus of recent advancements has been the identification and elimination of measurement bias errors.
Over this range of sample volumes, the impact of volume variations on glucose measurement bias is expected to be clinically insignificant.
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